Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Differential Authentication Scheme for Electric Charging System through Light Gradient Boosting Machine

  • Byung-Hyun Lim (Department of Computer Science and Engineering, Chungnam National University) ;
  • Ismatov, Akobir (Department of Computer Science and Engineering, Chungnam National University) ;
  • Ki-Il Kim (Department of Computer Science and Engineering, Chungnam National University)
  • Received : 2024.02.15
  • Accepted : 2024.05.13
  • Published : 2024.09.30
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Abstract

The network security of Plug-and-Charge (PnC) technology in electric vehicle charging systems is typically achieved through the well-known Transport Layer Security (TLS) protocol, which causes high communication overhead. To reduce this overhead, a differential authentication method employing different schemes for individual users has been proposed. However, decisions use a simple threshold approach and no quantitative performance evaluation should be made. In this study, we determined each user's trust using several machine learning algorithms with their charging patterns and compared them. The experimental results reveal that the proposed approach outperforms the conventional approach by 41.36% in terms of round-trip time efficiency, demonstrating its effectiveness in reducing the TLS overhead. In addition, we show the simulation results for three user authentication methods and capture the performance variations under CPU busy waiting scenarios.

Keywords

Acknowledgement

This work was supported by the Chungnam National University.

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